Introdución ás redes neuronais
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A aprendizaxe profunda é unha disciplina que está en auxe dada a súa adecuación para
resolver problemas complexos. Este traballo recolle a historia da aprendizaxe profunda dende os seus inicios, así como os conceptos básicos necesarios para a súa comprensión. Introdúcense as definicións formais dalgunhas funcións de activación, distintos tipos de redes neuronais como as redes recorrentes ou convolucionais e algoritmos e conceptos relativos ao seu adestramento. Finalmente, amósanse algunhas das aplicacións que ten no mundo real.
Deep learning is a discipline that is on the rise given its suitability for solving complex problems. This project encompases the history of deep learning from its beginnings, as well as the basic concepts needed for its understanding. It introduces the formal definitions of some activation functions, several types of neural networks such as recurrent or convolutional networks and algorithms and concepts related to their training. Finally, it showcases some of the applications it has on the real world.
Deep learning is a discipline that is on the rise given its suitability for solving complex problems. This project encompases the history of deep learning from its beginnings, as well as the basic concepts needed for its understanding. It introduces the formal definitions of some activation functions, several types of neural networks such as recurrent or convolutional networks and algorithms and concepts related to their training. Finally, it showcases some of the applications it has on the real world.
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Traballo Fin de Grao en Matemáticas. Curso 2021-2022
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Atribución-NoComercial-CompartirIgual 4.0 Internacional



